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Daniel J. Hruschka
Arizona State University
DemographyPsychologyPopulationMedicineSocial psychology
98Publications
25H-index
2,723Citations
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Publications 102
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#1Daniel J. Hruschka (ASU: Arizona State University)H-Index: 25
#2Anne M Williams (CDC: Centers for Disease Control and Prevention)H-Index: 5
Last. Sorrel Namaste (ICF International)
view all 7 authors...
BACKGROUND: Valid measurement of hemoglobin is important for tracking and targeting interventions. This study compares hemoglobin distributions between surveys matched by country and time from The Demographic and Health Survey (DHS) Program and the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project. METHODS: Four pairs of nationally representative surveys measuring hemoglobin using HemoCue(R) with capillary (DHS) or venous (BRINDA) blood were matched by co...
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#1Irene van Woerden (ISU: Idaho State University)H-Index: 4
#2Alexandra Brewis (ASU: Arizona State University)H-Index: 20
Last. Meg Bruening (ASU: Arizona State University)H-Index: 16
view all 6 authors...
Purpose Identify how higher Body Mass Index (BMI) and weight discrimination are associated with romantic relationship formation and termination in young adults, and if the association was consistent for males and females. Methods First-year students (N = 1096) at entry to university (Time 1) provided BMI and self-reports of weight discrimination and romantic relationship status (in a relationship vs single); 550 were successfully resampled four months later (Time 2). Logistic generalized estimat...
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#1Joseph Hackman (UofU: University of Utah)H-Index: 6
#1Joseph V. Hackman (UofU: University of Utah)
Last. Daniel J. Hruschka (ASU: Arizona State University)H-Index: 25
view all 2 authors...
OBJECTIVES: Current standards for comparing stunting across human populations assume a universal model of child growth. Such comparisons ignore population differences that are independent of deprivation and health outcomes. This article partitions variation in height-for-age that is specifically associated with deprivation and health outcomes to provide a basis for cross-population comparisons. MATERIALS AND METHODS: Using a multilevel model with a sigmoid relationship of resources and growth, w...
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#1James Lachaud (U of T: University of Toronto)H-Index: 2
#2Daniel J. Hruschka (ASU: Arizona State University)H-Index: 25
Last. Alexandra Brewis (ASU: Arizona State University)H-Index: 20
view all 4 authors...
1 CitationsSource
#1Joseph HackmanH-Index: 6
#2Daniel J. HruschkaH-Index: 25
Last. Mariya VizireanuH-Index: 1
view all 3 authors...
Social scientists have increasingly used asset-based wealth scores, like the DHS wealth index, to assess economic disparities. However, current indices primarily capture wealth in globalized market economies, thus ignoring other forms of prosperity, such as success in agricultural activities. Using a simple extension to the standard estimation of the DHS Wealth Index, we describe procedures for estimating an Agricultural Wealth Index (AWI) that complements market-based wealth indices by capturin...
#1Irene van Woerden (ISU: Idaho State University)H-Index: 4
#2David R. Schaefer (UCI: University of California, Irvine)H-Index: 3
Last. Meg Bruening (ASU: Arizona State University)H-Index: 16
view all 6 authors...
Abstract Objective To examine if first-year roommates made similar meal plan decisions. Methods Residence information for 1186 first-year students (N = 593 roommate pairs) and 559 floormates was obtained for the 2015–2016 academic year. Linear generalized estimating equations (GEEs) were used to examine if the number of meals students used over the semester was higher if their roommate used their meal plan more frequently. A logistic GEE examined joint meal plan usage between students and roomma...
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#1Irene van Woerden (ISU: Idaho State University)H-Index: 4
#2Daniel J. HruschkaH-Index: 25
Last. Meg BrueningH-Index: 16
view all 5 authors...
College students and their friends become more similar in weight status over time. However, it is unclear which mediators explain this relationship. Using validated survey measures of diet, physical activity, alcohol intake, sleep behaviors, mental health, and food security status, we take a comprehensive look at possible factors associated with excess weight gain that may explain friends’ convergence on body mass index (BMI), waist circumference, waist to hip ratio, and waist to height ratio ov...
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Objectives: Current standards for comparing stunting across human populations assume a universal model of child growth. Such comparisons ignore population differences that are independent of deprivation and health outcomes. This paper partitions variation in height-for-age that is specifically associated with deprivation and health outcomes to provide a basis for cross-population comparisons. Materials & Methods: Using a multi-level model with a sigmoid relationship of resources and growth, we p...
#1Irene van Woerden (ASU: Arizona State University)H-Index: 4
#2Daniel J. Hruschka (ASU: Arizona State University)H-Index: 25
Last. Meg Bruening (ASU: Arizona State University)H-Index: 16
view all 3 authors...
1 CitationsSource
#1Daniel J. Hruschka (ASU: Arizona State University)H-Index: 25
#2Joseph Hackman (ASU: Arizona State University)H-Index: 6
Last. Gert Stulp (UG: University of Groningen)H-Index: 19
view all 3 authors...
Abstract Contemporary humans occupy the widest range of socioeconomic environments in their evolutionary history, and this has revealed unprecedented environmentally-induced plasticity in physical growth. This plasticity also has limits, and identifying those limits can help researchers: (1) parse when population differences arise from environmental inputs or not and (2) determine when it is possible to infer socioeconomic disparities from disparities in body form. To illustrate potential limits...
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